Model comparison

DeepSeek V4.1 Flash vs Mistral Small 3.1

DeepSeek V4.1 Flash is the stronger model overall, scoring 52.8 to 31.7 on the Noometry Index.

Last verified . 22 shared benchmarks.

DeepSeek V4.1 Flash DeepSeek

52.8

Rank #38 Confirmed

Mistral Small 3.1 Mistral AI

31.7

Rank #269 Confirmed

Summary

  • They share 22 benchmarks with published results for both. DeepSeek V4.1 Flash scores higher in 9 categories and Mistral Small 3.1 in 0 categories; 9 gaps are clear of the uncertainty.
  • The widest gap is in math, where DeepSeek V4.1 Flash leads 66.7 to 14.7.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 98.3% for DeepSeek V4.1 Flash and 3.9% for Mistral Small 3.1.
  • DeepSeek V4.1 Flash is cheaper at $0.15 / $0.60 per million input/output tokens, against $0.35 / $0.56 for Mistral Small 3.1.
  • DeepSeek V4.1 Flash accepts more context: 1M tokens versus 128K.

Side by side

DeepSeek V4.1 Flash and Mistral Small 3.1 specifications
DeepSeek V4.1 FlashMistral Small 3.1
ProviderDeepSeekMistral AI
Noometry Index52.831.7
Released2026-09-092025-03-17
WeightsOpenOpen
Context window1M128K
Max output393K102K
Input $ / M tokens$0.15$0.35
Output $ / M tokens$0.60$0.56
Results tracked3728

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Category by category

Coding DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 52.9 (#32), Mistral Small 3.1: 38.3 (#179)

Coding benchmarks
BenchmarkDeepSeek V4.1 FlashMistral Small 3.1
LMArena Coding15061309
LMArena WebDev1619—
SciCode51.9%—
ALE-Bench1,092—

Agentic & Tool Use Not comparable

DeepSeek V4.1 Flash: 31.2 (#69), Mistral Small 3.1: —

Agentic & Tool Use benchmarks
BenchmarkDeepSeek V4.1 FlashMistral Small 3.1
APEX-Agents39.5%—
GDP.pdf19.8%—

Reasoning DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 50.2 (#36), Mistral Small 3.1: 19.7 (#254)

Reasoning benchmarks
BenchmarkDeepSeek V4.1 FlashMistral Small 3.1
LMArena Hard Prompts14831278
Epoch Capabilities Index154.9127.48
NYT Connections (extended)89.6%—
CritPt14.3%—
Chess Puzzles—1%
Mystery Game Puzzles43%—
DTBench89.9%—
LMCA47%—
Surface Evolver Bench46.3%—

Math DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 66.7 (#25), Mistral Small 3.1: 14.7 (#301)

Math benchmarks
BenchmarkDeepSeek V4.1 FlashMistral Small 3.1
OTIS Mock AIME 2024-202598.3%3.9%
LMArena Math14771262
FrontierMath (Tiers 1-3)67.4%—
FrontierMath Tier 426.8%—
ProofBench54%—
Omni-MATH—24.8%

Knowledge DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 57.9 (#38), Mistral Small 3.1: 22.6 (#271)

Knowledge benchmarks
BenchmarkDeepSeek V4.1 FlashMistral Small 3.1
GPQA Diamond89.8%41.9%
LMArena Expert15061257
MMLU-Pro—61%
GPQA (HELM)—39.2%

Multimodal DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 39.1 (#61), Mistral Small 3.1: 33.2 (#99)

Multimodal benchmarks
BenchmarkDeepSeek V4.1 FlashMistral Small 3.1
LMArena Vision12771136
Furniture Assembly34.2%—

Multilingual DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 55.0 (#35), Mistral Small 3.1: 41.2 (#209)

Multilingual benchmarks
BenchmarkDeepSeek V4.1 FlashMistral Small 3.1
LMArena Non-English14481255
LMArena Chinese14971253
LMArena French14521273
LMArena German14841266
LMArena Japanese14121208
LMArena Korean14521206
LMArena Russian14711263
LMArena Spanish14591283

Instruction Following DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 77.3 (#26), Mistral Small 3.1: 63.6 (#230)

Instruction Following benchmarks
BenchmarkDeepSeek V4.1 FlashMistral Small 3.1
LMArena Instruction Following14741264
IFEval—75%

Long Context DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 45.2 (#47), Mistral Small 3.1: 39.5 (#178)

Long Context benchmarks
BenchmarkDeepSeek V4.1 FlashMistral Small 3.1
LMArena Longer Query14751299

Writing & Preference DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 65.4 (#48), Mistral Small 3.1: 37.0 (#259)

Writing & Preference benchmarks
BenchmarkDeepSeek V4.1 FlashMistral Small 3.1
LMArena Text14621277
LMArena Creative Writing14351253
EQ-Bench Creative Writing1540761
LMArena Multi-Turn14571270
WildBench—78.8%

Frequently asked questions

Is DeepSeek V4.1 Flash better than Mistral Small 3.1?

DeepSeek V4.1 Flash is the stronger model overall, scoring 52.8 to 31.7 on the Noometry Index.

Which is cheaper, DeepSeek V4.1 Flash or Mistral Small 3.1?

DeepSeek V4.1 Flash is cheaper. It lists at $0.15 per million input tokens and $0.60 per million output tokens; Mistral Small 3.1 lists at $0.35 and $0.56.

Is DeepSeek V4.1 Flash or Mistral Small 3.1 better for coding?

DeepSeek V4.1 Flash scores higher on coding benchmarks: 52.9 versus 38.3 in the Noometry coding category.

Which has the bigger context window?

DeepSeek V4.1 Flash does, with 1M tokens against 128K.

How many benchmarks do DeepSeek V4.1 Flash and Mistral Small 3.1 share?

22 benchmarks have published results for both models. DeepSeek V4.1 Flash has 37 scored results on Noometry and Mistral Small 3.1 has 28.

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